Research Article Open Access

A New Engineering Method for Fuzzy Reliability Analysis of Surge Control in Centrifugal Compressor

Ahmed Hafaifa1, Ferhat Laaouad1 and Moulod Guemana1
  • 1 University of Boumerdes, Algeria

Abstract

Problem statement: The surge phenomenon in the centrifugal compressor, the non-linearities and uncertainties of the compression system make it impossible to use a conventional controller over a wide range of operation. Approach: A new dual fuzzy controller for nonlinear model of compression system was proposed in this study. This fuzzy controller was designed that consisted of active surge control and phase control without any explicit system models, but driven in human thinking mechanism. Results: Simulation example of compression system was given to demonstrate the validity of proposed control scheme. It was shown that fuzzy controller can be simplified and good tracking control performance can be achieved by choosing appropriate fuzzy roles. But, the dual fuzzy controller can successfully intervene in control surge of compression system. Conclusion: This new fuzzy control methodology suggested in this study reproduced well main characteristics of turbo compressor dynamic model developed by Moore and Gretzer and give place to a more precise and easy to handle representation. It is about an inaccuracies reproducing with a certain degree of satisfaction of real process without being as much complex.

American Journal of Engineering and Applied Sciences
Volume 2 No. 4, 2009, 676-682

DOI: https://doi.org/10.3844/ajeassp.2009.676.682

Submitted On: 20 April 2009 Published On: 31 December 2009

How to Cite: Hafaifa, A., Laaouad, F. & Guemana, M. (2009). A New Engineering Method for Fuzzy Reliability Analysis of Surge Control in Centrifugal Compressor. American Journal of Engineering and Applied Sciences, 2(4), 676-682. https://doi.org/10.3844/ajeassp.2009.676.682

  • 3,780 Views
  • 3,242 Downloads
  • 5 Citations

Download

Keywords

  • Centrifugal compressor
  • anti surge control
  • fuzzy controller
  • safety systems